R/data-LAhomes.R

In openintro: Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

#' LAhomes
#'
#' Data collected by Andrew Bray at Reed College on characteristics of LA Homes in 2010.
#'
#' @name LAhomes
#' @docType data
#' @format A data frame with 1594 observations on the following 8 variables.
#' \describe{
#'   \item{city}{City where the home is located.}
#'   \item{type}{Type of home with levels `Condo/Twh` - condo or townhouse, `SFR` - single family residence, and `NA`}
#'   \item{bed}{Number of bedrooms in the home.}
#'   \item{bath}{Number of bathrooms in the home.}
#'   \item{garage}{Number of cars that can be parked in the garage. Note that a value of `4` refers to 4 or more garage spaces.}
#'   \item{sqft}{Squarefootage of the home.}
#'   \item{pool}{Indicates if the home has a pool.}
#'   \item{price}{Listing price of the home.}
#'   }
#' @keywords datasets
#' @examples
#'
#' library(ggplot2)
#'
#' ggplot(LAhomes, aes(sqft, price)) +
#'   geom_point(alpha = 0.2) +
#'   theme_minimal() +
#'   labs(
#'     title = "Can we predict list price from squarefootage?",
#'     subtitle = "Homes in the Los Angeles area",
#'     x = "Square feet",
#'     y = "List price"
#'   )
"LAhomes"